Machine Learning Engineer, Presentation and Visual Optimization
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Job Description
Machine Learning Engineer optimizing user content display and attention in Paramount’s applications. Focusing on visual gateway and ML systems in a dynamic team environment.
Responsibilities:
- Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps.
- Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant.
- Scale Discovery: Build the components that allow us to personalize the 'look and feel' of the platform, not just the content list.
- Feature & Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines.
- Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy.
- System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity.
- Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope.
- Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction.
Requirements:
- 3+ years of experience in machine learning engineering or backend software engineering.
- Proven Delivery: Experience owning and delivering technical features or components autonomously.
- Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
- Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks).
- Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code.
- Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts.
- Background in Computer Vision or image processing.
- Experience in a high-scale streaming or e-commerce environment.
- Experience with Cloud Infrastructure, including AWS, GCP, and Azure.
Benefits:
- medical
- dental
- vision
- 401(k) plan
- life insurance coverage
- disability benefits
- tuition assistance program
- PTO
- bonus eligible
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